BMS Data Analysis Engineer in Houston, Texas at MICROVAST INC
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Job Description
BMS Data Analysis Engineer
Are you ready to be part of a company that's not just talking about the future, but energetically shaping it? Join the Microvast Team (NASDAQ: MVST), a technology innovator that designs, develops and manufactures lithium-ion battery solutions. Founded in 2006 and headquartered in Houston, TX, Microvast is renowned for its cutting-edge cell technology and its vertical integration capabilities which extend from core battery chemistry (cathode, anode, electrolyte, and separator) to battery packs. By integrating the process from raw material to system assembly, Microvast has developed a family of products covering a broad breadth of market applications. More information can be found on the corporate website: www.microvast.com
If you’re ready to be part of a company that’s not just adapting to change, but driving it, Microvast is the place for you. Apply now and electrify your career with a true leader in the global energy transformation.
Job Summary
Microvast is seeking a highly skilled BMS Data Analysis Engineer to join our team. This role involves designing, developing, and optimizing advanced algorithms to solve complex problems in battery system. The ideal candidate should have strong analytical skills, a deep understanding of algorithm design, and experience in implementing scalable solutions.
The position is 5 days in office, located at our headquarters in Houston, TX.
Key Responsibilities
- Collect, clean, and organize data from battery testing (cell/module/pack), BMS logs and field operating data.
- Develop and maintain scalable data pipelines and dashboards for continuous monitoring.
- Ensure data quality, traceability, and consistency across various sources.
- Perform statistical analysis and trend evaluation to identify anomalies, degradation patterns, and performance deviations.
- Collaborate with system engineers and test engineers to define data requirements for validation and verification.
- Conduct root-cause analysis of battery failures, safety events, and performance issues based on battery data.
- Provide data-driven recommendations to optimize test plans, test coverage, and acceptance criteria.
- Document findings, methodology, and tools in a structured and reproducible way.
- Work with BMS developers to validate algorithms and improve control strategies.
- Support field service, warranty, and quality teams with in-depth data analysis.
- Participate in continuous improvement initiatives for battery lifecycle management.
Qualifications & Skills
Required
- Master’s or PhD in Computer Science, Mathematics, Engineering, or a related field.
- 2–5 years of experience in data analysis, preferably in battery systems, energy storage, or electric vehicles.
- Strong proficiency in Python, SQL, and common data science libraries (numpy, pandas, scipy, scikit-learn).
- Hands-on experience with data visualization tools (e.g., Power BI, Tableau, matplotlib, Plotly).
- Good understanding of lithium-ion battery behavior, including SoC/SoH calculation, degradation, thermal behavior, and charging/discharging characteristics.
- Proficiency in programming languages such as Python, C++, or similar.
- Solid understanding of mathematical and statistical modeling techniques.
- Experience with large-scale data processing and optimization techniques.
- Ability to work collaboratively in a team environment and communicate technical concepts effectively.
- Strong problem-solving skills and the ability to think critically under challenging scenarios.
- Creative thinking skills & Strong analytical skills
- Ability to communicate well with other members of the development team
Preferred Qualifications:
- Hands-on experience with machine learning frameworks is a plus.
- Familiarity with cloud computing and distributed computing frameworks